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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    5. GPT2-Small
    7. Residual Stream
    9. 9-RES-JB
    11. 1789
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    INDEX
    Explanations

    phrases related to sports events and outcomes

    oai_token-act-pair · gpt-3.5-turbo

    references to league standings and sports-related metrics

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.hook_resid_pre
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    Skylion007/openwebtext
    Features
    24,576
    Data Type
    torch.float32
    Hook Point
    blocks.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    gre
    -0.72
    LOG
    -0.72
    shall
    -0.65
    rador
    -0.63
    lections
    -0.62
    thia
    -0.62
    Folder
    -0.62
    houn
    -0.62
    adding
    -0.62
     remembers
    -0.61
    POSITIVE LOGITS
     helm
    1.09
     outset
    1.08
     end
    0.96
     behest
    0.91
     expense
    0.89
     Olympics
    0.88
     beginning
    0.86
     ripe
    0.86
     seams
    0.83
     forefront
    0.82
    Activations Density 0.094%

    No Known Activations